SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting

25 April 2020

Papers citing "SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting"

8 / 8 papers shown

Title
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings A. Dhakal S. Sastry Subash Khanal Adeel Ahmad Eric Xing Nathan Jacobs 48 0 0 27 Feb 2025
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning Nemin Wu Qian Cao Zhangyu Wang Zeping Liu Yanlin Qi ... Stefano Ermon T. Ganu A. Nambi Ni Lao Gengchen Mai 61 15 0 21 Jun 2024
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence Gengchen Mai Weiming Huang Jin Sun Suhang Song Deepak Mishra ... Yingjie Hu Chris Cundy Ziyuan Li Rui Zhu Ni Lao AI4CE 22 118 0 13 Apr 2023
AGI for Agriculture Guoyu Lu Sheng R. Li Gengchen Mai Jin Sun Dajiang Zhu ... R. Xu Daniel Petti Changying Li Tianming Liu Changying Li AI4CE 40 17 0 12 Apr 2023
EVKG: An Interlinked and Interoperable Electric Vehicle Knowledge Graph for Smart Transportation System Ye Qi Gengchen Mai Rui Zhu Michael Zhang 22 17 0 10 Apr 2023
Towards General-Purpose Representation Learning of Polygonal Geometries Gengchen Mai C. Jiang Weiwei Sun Rui Zhu Yao Xuan Ling Cai K. Janowicz Stefano Ermon Ni Lao 27 37 0 29 Sep 2022
Positional Encoder Graph Neural Networks for Geographic Data Konstantin Klemmer Nathan Safir Daniel B. Neill GNN 14 33 0 19 Nov 2021
A Review of Location Encoding for GeoAI: Methods and Applications Gengchen Mai K. Janowicz Yingjie Hu Song Gao Bo Yan Rui Zhu Ling Cai Ni Lao 67 113 0 07 Nov 2021